odibatting2007 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2007odibattingrating.csv")
odibatting2008 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2008odibattingrating.csv")
odibatting2009 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2009odibattingrating.csv")
odibatting2010 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2010odibattingrating.csv")
odibatting2011 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2011odibattingrating.csv")
odibatting2012 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2012odibattingrating.csv")
odibatting2013 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2013odibattingrating.csv")
odibatting2014 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2014odibattingrating.csv")
odibatting2015 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2015odibattingrating.csv")
odibatting2016 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2016odibattingrating.csv")
testbatting2007 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2007testbattingrating.csv")
testbatting2008 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2008testbattingrating.csv")
testbatting2009 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2009testbattingrating.csv")
testbatting2010 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2010testbattingrating.csv")
testbatting2011 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2011testbattingrating.csv")
testbatting2012 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2012testbattingrating.csv")
testbatting2013 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2013testbattingrating.csv")
testbatting2014 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2014testbattingrating.csv")
testbatting2015 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2015testbattingrating.csv")
testbatting2016 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2016testbattingrating.csv")
twenty20batting2007 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2007twenty20battingrating.csv")
twenty20batting2008 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2008twenty20battingrating.csv")
twenty20batting2009 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2009twenty20battingrating.csv")
twenty20batting2010 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2010twenty20battingrating.csv")
twenty20batting2011 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2011twenty20battingrating.csv")
twenty20batting2012 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2012twenty20battingrating.csv")
twenty20batting2013 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2013twenty20battingrating.csv")
twenty20batting2014 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2014twenty20battingrating.csv")
twenty20batting2015 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2015twenty20battingrating.csv")
twenty20batting2016 <- read.csv("D:\\Vishal\\III year\\Data Analytics\\Assignment II\\Player Ratings\\2016twenty20battingrating.csv")
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(ggplot2)
library(plotly)
##
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
##
## filter
## The following object is masked from 'package:graphics':
##
## layout
allData <- bind_rows(odibatting2007, odibatting2008, odibatting2009, odibatting2010,
odibatting2011, odibatting2012, odibatting2013, odibatting2014,
odibatting2015, odibatting2016,
testbatting2007, testbatting2008, testbatting2009, testbatting2010,
testbatting2011, testbatting2012, testbatting2013, testbatting2014,
testbatting2015, testbatting2016,
twenty20batting2007, twenty20batting2008, twenty20batting2009,
twenty20batting2010, twenty20batting2011, twenty20batting2012,
twenty20batting2013, twenty20batting2014, twenty20batting2015,
twenty20batting2016)
## Warning in bind_rows_(x, .id): Unequal factor levels: coercing to character
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector
allData <- na.omit(allData)
library(VIM)
## Loading required package: colorspace
## Loading required package: grid
## Loading required package: data.table
##
## Attaching package: 'data.table'
## The following objects are masked from 'package:dplyr':
##
## between, first, last
## VIM is ready to use.
## Since version 4.0.0 the GUI is in its own package VIMGUI.
##
## Please use the package to use the new (and old) GUI.
## Suggestions and bug-reports can be submitted at: https://github.com/alexkowa/VIM/issues
##
## Attaching package: 'VIM'
## The following object is masked from 'package:datasets':
##
## sleep
aggr(allData)
allData <- allData %>%
group_by(Name) %>%
summarise(avg = mean(Rating))
set.seed(20)
allDataCluster <- kmeans(allData[, 2], 5)
allDataCluster$cluster <- as.factor(allDataCluster$cluster)
str(allDataCluster)
## List of 9
## $ cluster : Factor w/ 5 levels "1","2","3","4",..: 1 5 1 2 4 1 5 3 4 1 ...
## $ centers : num [1:5, 1] 348 246 688 438 540
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:5] "1" "2" "3" "4" ...
## .. ..$ : chr "avg"
## $ totss : num 6228210
## $ withinss : num [1:5] 41917 41566 127005 94324 107442
## $ tot.withinss: num 412254
## $ betweenss : num 5815957
## $ size : int [1:5] 57 48 45 137 79
## $ iter : int 3
## $ ifault : int 0
## - attr(*, "class")= chr "kmeans"
ggplot(allData, aes(Name, avg, color = allDataCluster$cluster)) +
geom_point(size = 2) +
scale_color_hue(labels = c("Good", "Best", "Useless", "Better", "Average")) +
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
ggtitle("ODI Batting Ratings(2007-2016)")
dat <- arrange(allData, desc(avg)) %>%
mutate(rank = 1:nrow(allData))
allData <- merge(allData, dat, by = "Name")
p <- plot_ly(allData, x = ~Name, y = ~avg.x, type = 'scatter',
mode = 'markers', color = allDataCluster$cluster,
text = ~paste('Rank: ', rank))
p